RANCANG BANGUN SISTEM DETEKSI DINI POTENSI KEBAKARAN BERBASIS INTERNET OF THINGS (STUDI KASUS: Laboratorium Elektronika Kampus UPI di Purwakarta)

Galuh Inti Aulia, - (2024) RANCANG BANGUN SISTEM DETEKSI DINI POTENSI KEBAKARAN BERBASIS INTERNET OF THINGS (STUDI KASUS: Laboratorium Elektronika Kampus UPI di Purwakarta). S1 thesis, Universitas Pendidikan Indonesia.

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Official URL: https://repository.upi.edu/

Abstract

Laboratorium Elektronika kampus UPI di Purwakarta digunakan untuk kegiatan praktik yang berkaitan dengan perakitan komponen elektronika yang memiliki potensi kebakaran. Kegiatan-kegiatan tersebut berpotensi menyebabkan ledakan komponen yang bisa saja menimbulkan kebakaran, namun ruangan tersebut hanya memiliki pendeteksi kebakaran tanpa adanya notifikasi sebagai peringatan dan tindakan lanjut saat terjadinya kebakaran. Pendeteksian dini kebakaran sangat penting dalam memberikan keamanan dan kenyamanan pada suatu Gedung. Penelitian ini bertujuan untuk merancang dan menganlisis hasil pengujian prototipe sistem pendeteksi kebakaran berbasis IoT. Sistem yang dirancang menggunakan beberapa sensor, termasuk sensor api, sensor suhu, dan sensor gas, yang terhubung ke mikrokontroler ESP32. Pengujian sistem dari sensor-sensor tersebut dikirimkan ke aplikasi mobile yang dirancang menggunakan Kodular untuk memberikan notifikasi kebakaran secara real-time kepada pengguna melalui notifikasi pop up. Pengujian sistem pada sensor api menunjukan 2 kondisi, rentang 10-190 cm api dapat terdeteksi sedangkan jarak ≥ 200 cm api tidak terdeteksi, sensor suhu pengujian jarak terdekat mendapatkan nilai 41,80°C serta nilai 32,80°C pada jarak terjauh dari sensor, sensor Gas pengujian jarak terdekat mendapatkan nilai 2,93 Ppm serta nilai 0,39 Ppm pada jarak terjauh dari sensor. Akurasi yang didapat dari tiap-tiap sensor kurang dari 10% hal tersebut dapat dikategorikan baik menurut perhitungan MAPE dan notifikasi deteksi kebakaran dapat dikirimkan secara real time pada aplikasi kepada pengguna. ----- The Electronics Laboratory at the UPI campus in Purwakarta is used for practical activities related to the assembly of electronic components that have the potential for fire. These activities have the potential to cause an explosion of components that could cause a fire, but the room only has a fire detector without any notification as a warning and further action when a fire occurs. Early detection of fire is very important in providing safety and comfort in a building. This research aims to design and analyze the results of testing a prototype IoT-based fire detection system. The designed system uses several sensors, including fire sensors, temperature sensors, and gas sensors, which are connected to the ESP32 microcontroller. System testing of these sensors is sent to a mobile application designed using Kodular to provide real-time fire notifications to users through pop up notifications. System testing on the fire sensor shows 2 conditions, the range 10-190 cm fire can be detected while the distance ≥ 200 cm fire is not detected, the temperature sensor testing the closest distance gets a value of 41.80 ° C and a value of 32,80° C at the furthest distance from the sensor, the Gas sensor testing the closest distance gets a value of 2.93 Ppm and a value of 0.39 Ppm at the furthest distance from the sensor. The accuracy obtained from each sensor is less than 10%, which can be categorized as good according to the MAPE calculation and fire detection notifications can be sent in real time in the application to users.

Item Type: Thesis (S1)
Additional Information: https://scholar.google.com/citations?view_op=new_profile&hl=id ID SINTA Dosen Pembimbing Dewi Indriati Hadi Putri: 6720737 Ichwan Nul Ichsan: 6721201
Uncontrolled Keywords: Pendeteksi Kebakaran, Internet of Things, aplikasi mobile, kodular Fire Detection, Internet of Things, mobile application, codular
Subjects: T Technology > T Technology (General)
Divisions: UPI Kampus Purwakarta > S1 Sistem Telekomunikasi
Depositing User: Galuh Inti Aulia
Date Deposited: 28 Aug 2024 08:27
Last Modified: 28 Aug 2024 08:27
URI: http://repository.upi.edu/id/eprint/121368

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